Authors : Ajith G.S

Volume/Issue : Volume 9 - 2024, Issue 11 - November

Google Scholar : https://tinyurl.com/bdzzasda

Scribd : https://tinyurl.com/3kh4stvz

DOI : https://doi.org/10.38124/ijisrt/IJISRT24NOV232

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This scholarly article delves deeply into the fascinating and multifaceted role that generative artificial intelligence (AI) plays within the expansive field of agriculture, shining a spotlight on its remarkable capacity to transform and elevate the efficiency, sustainability, and overall productivity of farming practices. As it grapples with critical agricultural dilemmas such as accurately predicting crop yields, effectively managing pests, meticulously monitoring soil health, and forecasting climate variations, generative AI models emerge as promising allies in the quest for more sustainable farming methods that can adapt to the ever- evolving challenges. This paper aims to encapsulate the essential applications of generative AI, delineate the significant hurdles it faces, and illuminate the exciting future possibilities that lie ahead for the integration of generative AI into the agricultural sector.

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